{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,20]],"date-time":"2026-02-20T18:57:34Z","timestamp":1771613854150,"version":"3.50.1"},"reference-count":71,"publisher":"MDPI AG","issue":"5","license":[{"start":{"date-parts":[[2025,5,19]],"date-time":"2025-05-19T00:00:00Z","timestamp":1747612800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["BDCC"],"abstract":"<jats:p>The present study proposes adaptive augmented reality (AR) architecture, specifically designed to enhance real-time operator assistance and occupational safety in industrial environments, which is representative of Industry 4.0. The proposed system addresses key challenges in AR adoption, such as the need for dynamic personalisation of instructions based on operator profiles and the mitigation of technical and cognitive barriers. Architecture integrates theoretical modelling, modular design, and real-time adaptability to match instruction complexity with user expertise and environmental conditions. A working prototype was implemented using Microsoft HoloLens 2, Unity 3D, and Vuforia and validated in a controlled industrial scenario involving predictive maintenance and assembly tasks. The experimental results demonstrated statistically significant enhancements in task completion time, error rates, perceived cognitive load, operational efficiency, and safety indicators in comparison with conventional methods. The findings underscore the system\u2019s capacity to enhance both performance and consistency while concomitantly bolstering risk mitigation in intricate operational settings. This study proposes a scalable and modular AR framework with built-in safety and adaptability mechanisms, demonstrating practical benefits for human\u2013machine interaction in Industry 4.0. The present study is subject to certain limitations, including validation in a simulated environment, which limits the direct extrapolation of the results to real industrial scenarios; further evaluation in various operational contexts is required to verify the overall scalability and applicability of the proposed system. It is recommended that future research studies explore the long-term ergonomics, scalability, and integration of emerging technologies in decision support within adaptive AR systems.<\/jats:p>","DOI":"10.3390\/bdcc9050133","type":"journal-article","created":{"date-parts":[[2025,5,19]],"date-time":"2025-05-19T05:37:13Z","timestamp":1747633033000},"page":"133","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["Adaptive Augmented Reality Architecture for Optimising Assistance and Safety in Industry 4.0"],"prefix":"10.3390","volume":"9","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4384-6837","authenticated-orcid":false,"given":"Gin\u00e9s","family":"Morales M\u00e9ndez","sequence":"first","affiliation":[{"name":"Department of Electromagnetism and Electronics, Faculty of Chemistry, University of Murcia, Campus of Espinardo, 5, Espinardo, 30100 Murcia, Spain"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3961-1963","authenticated-orcid":false,"given":"Francisco","family":"del Cerro Vel\u00e1zquez","sequence":"additional","affiliation":[{"name":"Department of Electromagnetism and Electronics, Faculty of Chemistry, University of Murcia, Campus of Espinardo, 5, Espinardo, 30100 Murcia, Spain"}]}],"member":"1968","published-online":{"date-parts":[[2025,5,19]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"1360","DOI":"10.1016\/j.ejor.2022.09.028","article-title":"Dynamic network data envelopment analysis with a sequential structure and behavioural-causal analysis: Application to the Chinese banking industry","volume":"307","author":"Fukuyama","year":"2023","journal-title":"Eur. J. Oper. Res."},{"key":"ref_2","doi-asserted-by":"crossref","unstructured":"H\u00f6hl, W. (2020). Official survey data and virtual worlds\u2014Designing an integrative and economical open source production pipeline for xR-applications in small and medium-sized enterprises. Big Data Cogn. Comput., 4.","DOI":"10.3390\/bdcc4040026"},{"key":"ref_3","doi-asserted-by":"crossref","unstructured":"Choi, S., and Park, J.S. (2021). Development of augmented reality system for productivity enhancement in offshore plant construction. J. Mar. Sci. Eng., 9.","DOI":"10.3390\/jmse9020209"},{"key":"ref_4","doi-asserted-by":"crossref","unstructured":"Villagran-Vizcarra, D.C., Luviano-Cruz, D., P\u00e9rez-Dom\u00ednguez, L.A., M\u00e9ndez-Gonz\u00e1lez, L.C., and Garcia-Luna, F. (2023). Applications Analyses, Challenges and Development of Augmented Reality in Education, Industry, Marketing, Medicine, and Entertainment. Appl. Sci., 13.","DOI":"10.3390\/app13052766"},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"220121","DOI":"10.1109\/ACCESS.2020.3042874","article-title":"Industrial artificial intelligence in industry 4.0\u2014Systematic review, challenges and outlook","volume":"8","author":"Peres","year":"2020","journal-title":"IEEE Access"},{"key":"ref_6","unstructured":"Markets and Markets (2022). Augmented Reality Market with COVID-19 Impact Analysis by Offering (Hardware and Software), Device Type (Head-Mounted Display, Head-Up Display), Application (Consumer, Commercial, Enterprise, Automotive), and Region\u2014Global Forecast to 2027, Markets and Markets Research Private Ltd."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"428","DOI":"10.1108\/IR-09-2021-0204","article-title":"Augmented reality\u2014An important aspect of Industry 4.0","volume":"49","author":"Sharma","year":"2022","journal-title":"Ind. Robot"},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1007\/s40436-015-0131-4","article-title":"A comprehensive survey of augmented reality assembly research","volume":"4","author":"Wang","year":"2016","journal-title":"Adv. Manuf."},{"key":"ref_9","doi-asserted-by":"crossref","unstructured":"Santi, G.M., Ceruti, A., Liverani, A., and Osti, F. (2021). Augmented reality in industry 4.0 and future innovation programs. Technologies, 9.","DOI":"10.3390\/technologies9020033"},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"118983","DOI":"10.1016\/j.eswa.2022.118983","article-title":"Augmented reality-based guidance in product assembly and maintenance\/repair perspective: A state of the art review on challenges and opportunities","volume":"213","author":"Eswaran","year":"2023","journal-title":"Expert Syst. Appl."},{"key":"ref_11","doi-asserted-by":"crossref","unstructured":"Alessa, F.M., Alhaag, M.H., Al-Harkan, I.M., Ramadan, M.Z., and Alqahtani, F.M. (2023). A neurophysiological evaluation of cognitive load during augmented reality interactions in various industrial maintenance and assembly tasks. Sensors, 23.","DOI":"10.3390\/s23187698"},{"key":"ref_12","doi-asserted-by":"crossref","unstructured":"Morales M\u00e9ndez, G., and del Cerro Vel\u00e1zquez, F. (2024). Augmented Reality in Industry 4.0 Assistance and Training Areas: A Systematic Literature Review and Bibliometric Analysis. Electronics, 13.","DOI":"10.3390\/electronics13061147"},{"key":"ref_13","doi-asserted-by":"crossref","unstructured":"Gramouseni, F., Tzimourta, K.D., Angelidis, P., Giannakeas, N., and Tsipouras, M.G. (2023). Cognitive assessment based on electroencephalography analysis in virtual and augmented reality environments, using head mounted displays: A systematic review. Big Data Cogn. Comput., 7.","DOI":"10.3390\/bdcc7040163"},{"key":"ref_14","doi-asserted-by":"crossref","unstructured":"Carvalho, A.V., Chouchene, A., Lima, T.M., and Charrua-Santos, F. (2020). Cognitive manufacturing in industry 4.0 toward cognitive load reduction: A conceptual framework. Appl. Syst. Innov., 3.","DOI":"10.3390\/asi3040055"},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"103661","DOI":"10.1016\/j.compind.2022.103661","article-title":"Deep learning-based object detection in augmented reality: A systematic review","volume":"139","author":"Ghasemi","year":"2022","journal-title":"Comput. Ind."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"105582","DOI":"10.1016\/j.autcon.2024.105582","article-title":"Using eye-tracking to measure worker situation awareness in augmented reality","volume":"165","author":"Wu","year":"2024","journal-title":"Autom. Constr."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"696","DOI":"10.1016\/j.jmsy.2020.10.017","article-title":"Systematic literature review on augmented reality in smart manufacturing: Collaboration between human and computational intelligence","volume":"61","author":"Baroroh","year":"2021","journal-title":"J. Manuf. Syst."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"102357","DOI":"10.1016\/j.rcim.2022.102357","article-title":"Probing an intelligent predictive maintenance approach with deep learning and augmented reality for machine tools in IoT-enabled manufacturing","volume":"77","author":"Liu","year":"2022","journal-title":"Robot. Comput.-Integr. Manuf."},{"key":"ref_19","doi-asserted-by":"crossref","unstructured":"Shakhovska, N., Yakovyna, V., Mysak, M., Mitoulis, S.A., Argyroudis, S., and Syerov, Y. (2024). Real-time monitoring of road networks for pavement damage detection based on preprocessing and neural networks. Big Data Cogn. Comput., 8.","DOI":"10.3390\/bdcc8100136"},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"3935","DOI":"10.1080\/00207543.2018.1443229","article-title":"Digital twin-driven product design framework","volume":"57","author":"Tao","year":"2019","journal-title":"Int. J. Prod. Res."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"778","DOI":"10.1080\/10494820.2013.815221","article-title":"Evaluating virtual reality and augmented reality training for industrial maintenance and assembly tasks","volume":"23","author":"Gavish","year":"2015","journal-title":"Interact. Learn. Environ."},{"key":"ref_22","first-page":"1679","article-title":"Augmented Reality (AR) and Virtual Reality (VR): Recent Developments and Applications in Various Industries","volume":"4","author":"Pujiono","year":"2024","journal-title":"Innov. J. Soc. Sci. Res."},{"key":"ref_23","doi-asserted-by":"crossref","unstructured":"Hazarika, A., and Rahmati, M. (2023). Towards an evolved immersive experience: Exploring 5G-and beyond-enabled ultra-low-latency communications for augmented and virtual reality. Sensors, 23.","DOI":"10.3390\/s23073682"},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"118002","DOI":"10.1016\/j.eswa.2022.118002","article-title":"Augmented Reality and Artificial Intelligence in industry: Trends, tools, and future challenges","volume":"207","author":"Devagiri","year":"2022","journal-title":"Exper. Syst. Appl."},{"key":"ref_25","doi-asserted-by":"crossref","unstructured":"Vortmann, L.M., and Putze, F. (2020, January 25\u201330). Attention-aware brain computer interface to avoid distractions in augmented reality. Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems, Honolulu, HI, USA.","DOI":"10.1145\/3334480.3382889"},{"key":"ref_26","doi-asserted-by":"crossref","unstructured":"Kim, H., Kim, T., Lee, M., Kim, G.J., and Hwang, J.I. (2021). CIRO: The effects of visually diminished real objects on human perception in handheld augmented reality. Electronics, 10.","DOI":"10.3390\/electronics10080900"},{"key":"ref_27","doi-asserted-by":"crossref","unstructured":"Boboc, R.G., G\u00eerbacia, F., and Butil\u0103, E.V. (2020). The application of augmented reality in the automotive industry: A systematic literature review. Appl. Sci., 10.","DOI":"10.3390\/app10124259"},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"276","DOI":"10.1016\/j.rcim.2018.10.001","article-title":"Towards augmented reality manuals for industry 4.0: A methodology","volume":"56","author":"Gattullo","year":"2019","journal-title":"Robot. Comput.-Integr. Manuf."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"103112","DOI":"10.1016\/j.compind.2019.07.002","article-title":"Adopting augmented reality in the age of industrial digitalisation","volume":"115","author":"Masood","year":"2020","journal-title":"Comput. Ind."},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"103412","DOI":"10.1016\/j.compind.2021.103412","article-title":"An augmented reality inspection tool to support workers in Industry 4.0 environments","volume":"127","author":"Marino","year":"2021","journal-title":"Comput. Ind."},{"key":"ref_31","unstructured":"Morales M\u00e9ndez, G., and del Cerro Vel\u00e1zquez, F. (2023). Augmented reality as a pillar for innovation and transformation in Industry 4.0. Innovaci\u00f3n Docente e Investigaci\u00f3n en Ciencias, Ingenier\u00eda y Arquitectura: Nuevas Tendencias para el Cambio en la Ense\u00f1anza Superior, Dykinson."},{"key":"ref_32","doi-asserted-by":"crossref","unstructured":"Morales M\u00e9ndez, G., and del Cerro Vel\u00e1zquez, F. (2024). Impact of Augmented Reality on Assistance and Training in Industry 4.0: Qualitative Evaluation and Meta-Analysis. Appl. Sci., 14.","DOI":"10.3390\/app14114564"},{"key":"ref_33","doi-asserted-by":"crossref","unstructured":"Cai, Y., van Joolingen, W., and Veermans, K. (2021). Virtual and Augmented Reality, Simulation and Serious Games for Education, Springer.","DOI":"10.1007\/978-981-16-1361-6"},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"110522","DOI":"10.1016\/j.cie.2024.110522","article-title":"AR\/VR assisted integrated framework of autonomous disassembly system for industrial products","volume":"196","author":"Eswaran","year":"2024","journal-title":"Comput. Ind. Eng."},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"346","DOI":"10.1016\/j.procir.2015.12.113","article-title":"Dynamic operator instructions based on augmented reality and rule-based expert systems","volume":"41","author":"Syberfeldt","year":"2016","journal-title":"Procedia CIRP"},{"key":"ref_36","first-page":"362","article-title":"Adaptive instructions to novice shop-floor operators using augmented reality","volume":"34","author":"Holm","year":"2017","journal-title":"J. Ind. Prod. Eng."},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"253","DOI":"10.1080\/21577323.2016.1214635","article-title":"Augmented reality \u201csmart glasses\u201d in the workplace: Industry perspectives and challenges for worker safety and health","volume":"4","author":"Kim","year":"2016","journal-title":"IIE Trans. Occup. Ergon. Hum. Factors"},{"key":"ref_38","first-page":"100175","article-title":"Augmented reality smart glasses in industrial assembly: Current status and future challenges","volume":"20","author":"Danielsson","year":"2020","journal-title":"J. Ind. Inf. Integr."},{"key":"ref_39","doi-asserted-by":"crossref","unstructured":"Gao, L., Wang, C., and Wu, G. (2024). Wearable biosensor smart glasses based on augmented reality and eye tracking. Sensors, 24.","DOI":"10.3390\/s24206740"},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"85","DOI":"10.1016\/j.promfg.2019.03.014","article-title":"Potentials of augmented reality in training","volume":"31","author":"Sorko","year":"2019","journal-title":"Procedia Manuf."},{"key":"ref_41","doi-asserted-by":"crossref","unstructured":"Martins, N.C., Marques, B., Dias, P., and Sousa Santos, B. (2023). Expanding the horizons of situated visualization: The extended SV model. Big Data Cogn. Comput., 7.","DOI":"10.3390\/bdcc7020112"},{"key":"ref_42","doi-asserted-by":"crossref","unstructured":"Alam, S.S., Susmit, S., Lin, C.Y., Masukujjaman, M., and Ho, Y.H. (2021). Factors affecting augmented reality adoption in the retail industry. J. Open Innov. Technol. Mark. Complex., 7.","DOI":"10.3390\/joitmc7020142"},{"key":"ref_43","first-page":"125","article-title":"Augmented reality in aerospace manufacturing: A review","volume":"4","author":"Frigo","year":"2016","journal-title":"J. Ind. Intell. Inf."},{"key":"ref_44","unstructured":"Ahram, T.Z. (2020). Evaluation of augmented reality technologies in manufacturing\u2014A literature review. Advances in Human Factors and Systems Interaction, Springer International Publishing."},{"key":"ref_45","doi-asserted-by":"crossref","first-page":"1130","DOI":"10.1016\/j.procir.2018.03.061","article-title":"General requirements for industrial augmented reality applications","volume":"72","author":"Quandt","year":"2018","journal-title":"Procedia CIRP"},{"key":"ref_46","doi-asserted-by":"crossref","first-page":"519","DOI":"10.3390\/jcp1030026","article-title":"Augmented reality and the digital twin: State-of-the-art and perspectives for cybersecurity","volume":"1","author":"Dietz","year":"2021","journal-title":"J. Cybersecur. Priv."},{"key":"ref_47","doi-asserted-by":"crossref","first-page":"715","DOI":"10.1002\/sys.21682","article-title":"Mass customization and mass personalization meet at the crossroads of Industry 4.0: A case of augmented digital engineering","volume":"26","author":"Barata","year":"2023","journal-title":"Syst. Eng."},{"key":"ref_48","doi-asserted-by":"crossref","unstructured":"Angelopoulos, J., and Mourtzis, D. (2022). An intelligent product service system for adaptive maintenance of engineered-to-order manufacturing equipment assisted by augmented reality. Appl. Sci., 12.","DOI":"10.3390\/app12115349"},{"key":"ref_49","doi-asserted-by":"crossref","unstructured":"Scheffer, S., Martinetti, A., Damgrave, R., Thiede, S., and van Dongen, L. (2021). How to make augmented reality a tool for railway maintenance operations: Operator 4.0 perspective. Appl. Sci., 11.","DOI":"10.3390\/app11062656"},{"key":"ref_50","doi-asserted-by":"crossref","first-page":"3899","DOI":"10.1007\/s00170-019-03941-6","article-title":"Augmented reality application to support the assembly of highly customized products and to adapt to production re-scheduling","volume":"105","author":"Mourtzis","year":"2019","journal-title":"Int. J. Adv. Manuf. Technol."},{"key":"ref_51","doi-asserted-by":"crossref","first-page":"405","DOI":"10.1016\/j.procir.2021.11.068","article-title":"Adaptive spatial augmented reality for industrial site assembly","volume":"104","author":"Rupprecht","year":"2021","journal-title":"Procedia CIRP"},{"key":"ref_52","unstructured":"(2010). Safety of Machinery\u2014General Principles for Design\u2014Risk Assessment and Risk Reduction (Standard No. ISO 12100:2010)."},{"key":"ref_53","unstructured":"(2023). Safety of Machinery\u2014Safety-Related Parts of Control Systems\u2014Part 1: General Principles for Design (Standard No. ISO 13849-1:2023)."},{"key":"ref_54","unstructured":"(2016). Condition Monitoring and Diagnostics of Machines\u2014Data Processing, Communication and Presentation\u2014Part 1: General Guidelines (Standard No. ISO 13374-1:2016)."},{"key":"ref_55","unstructured":"(2017). Ergonomics of Human-System Interaction\u2014Part 960: Framework and Guidance for Gesture Interactions (Standard No. ISO 9241-960:2017)."},{"key":"ref_56","unstructured":"(2022). Industrial Platinum Resistance Thermometers and Platinum Temperature Sensors (Standard No. IEC 60751:2022)."},{"key":"ref_57","unstructured":"(2020). Mechanical Vibration\u2014Measurement and Evaluation of Machine Vibration\u2014Part 3: Industrial Machines with Power Ratings Above 15 kW (Standard No. ISO 20816-3:2020)."},{"key":"ref_58","unstructured":"(2019). Instrument Transformers\u2014Part 2: Additional Requirements for Current Transformers (Standard No. IEC 61869-2:2019)."},{"key":"ref_59","unstructured":"(2022). Function Blocks\u2014Part 1: Architecture (Standard No. IEC 61499-1:2022)."},{"key":"ref_60","unstructured":"(2018). Condition Monitoring and Diagnostics of Machines\u2014General Guidelines (Standard No. ISO 17359:2018)."},{"key":"ref_61","unstructured":"(2016). Ergonomics Principles in the Design of Work Systems (Standard No. ISO 6385:2016)."},{"key":"ref_62","doi-asserted-by":"crossref","first-page":"589","DOI":"10.1177\/00187208221105135","article-title":"Effects of augmented reality-, virtual reality-, and mixed reality-based training on objective performance measures and subjective evaluations in manual assembly tasks: A scoping review","volume":"66","author":"Daling","year":"2024","journal-title":"Hum. Factors"},{"key":"ref_63","doi-asserted-by":"crossref","first-page":"110478","DOI":"10.1016\/j.cie.2024.110478","article-title":"A visual management and augmented-reality-based training module for the enhancement of short and long-term procedural knowledge retention in complex machinery setup","volume":"196","author":"Gualtieri","year":"2024","journal-title":"Comput. Ind. Eng."},{"key":"ref_64","doi-asserted-by":"crossref","unstructured":"Sitompul, T.A., and Wallmyr, M. (2019, January 14\u201316). Using augmented reality to improve productivity and safety for heavy machinery operators: State of the art. Proceedings of the 17th International Conference on Virtual-Reality Continuum and Its Applications in Industry (VRCAI 2019), Brisbane, Australia.","DOI":"10.1145\/3359997.3365689"},{"key":"ref_65","doi-asserted-by":"crossref","unstructured":"Ottogalli, K., Rosquete, D., Amundarain, A., Aguinaga, I., and Borro, D. (2019). Flexible framework to model industry 4.0 processes for virtual simulators. Appl. Sci., 9.","DOI":"10.3390\/app9234983"},{"key":"ref_66","doi-asserted-by":"crossref","first-page":"7966","DOI":"10.1109\/TII.2022.3216009","article-title":"An augmented reality-based warning system for enhanced safety in industrial settings","volume":"19","author":"Akhmetov","year":"2022","journal-title":"IEEE Trans. Ind. Inform."},{"key":"ref_67","doi-asserted-by":"crossref","unstructured":"Pereira, A.C., Alves, A.C., and Arezes, P. (2023). Augmented reality in a lean workplace at smart factories: A case study. Appl. Sci., 13.","DOI":"10.3390\/app13169120"},{"key":"ref_68","doi-asserted-by":"crossref","first-page":"796","DOI":"10.1007\/s10922-020-09545-w","article-title":"Immersive Interconnected Virtual and Augmented Reality: A 5G and IoT Perspective","volume":"28","author":"Liaskos","year":"2020","journal-title":"J. Netw. Syst. Manag."},{"key":"ref_69","doi-asserted-by":"crossref","first-page":"1026","DOI":"10.47738\/jads.v5i3.267","article-title":"Synchronization Patterns for Digital Twin Systems","volume":"5","author":"Alghamdi","year":"2024","journal-title":"J. Appl. Data Sci."},{"key":"ref_70","doi-asserted-by":"crossref","first-page":"816","DOI":"10.1016\/j.procir.2021.05.038","article-title":"Augmented reality for IT\/OT failures in maintenance operations of digitized trains: Current status, research challenges and future directions","volume":"100","author":"Scheffer","year":"2021","journal-title":"Procedia CIRP"},{"key":"ref_71","doi-asserted-by":"crossref","first-page":"14749","DOI":"10.1007\/s11042-021-10971-4","article-title":"Augmented reality situated visualization in decision-making","volume":"81","author":"Martins","year":"2022","journal-title":"Multimed. Tools Appl."}],"container-title":["Big Data and Cognitive Computing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2504-2289\/9\/5\/133\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,9]],"date-time":"2025-10-09T17:34:59Z","timestamp":1760031299000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2504-2289\/9\/5\/133"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,5,19]]},"references-count":71,"journal-issue":{"issue":"5","published-online":{"date-parts":[[2025,5]]}},"alternative-id":["bdcc9050133"],"URL":"https:\/\/doi.org\/10.3390\/bdcc9050133","relation":{},"ISSN":["2504-2289"],"issn-type":[{"value":"2504-2289","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,5,19]]}}}